Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt
Generation for Few-shot Learning

Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning

14 August 2023

Chengzhengxu Li

Xiaoming Liu

Papers citing "Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning"

8 / 8 papers shown

Title
Prompt Obfuscation for Large Language Models David Pape Thorsten Eisenhofer Thorsten Eisenhofer Lea Schönherr AAML 31 2 0 17 Sep 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models Chengzhengxu Li Xiaoming Liu Zhaohan Zhang Yichen Wang Chen Liu Y. Lan Chao Shen 35 2 0 15 Jun 2024
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach Victor Sanh Zheng-Xin Yong Albert Webson Colin Raffel ... Khalid Almubarak Xiangru Tang Dragomir R. Radev Mike Tian-Jian Jiang Alexander M. Rush VLM 215 335 0 02 Feb 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Matthew Cer VLM LRM 134 276 0 15 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018